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Learner Reviews & Feedback for COVID19 Data Visualization Using Python by Coursera Project Network

95 ratings

About the Course

By the end of this project, you will learn How you can use data visualization techniques to answer to some analytical questions. in this project we are going to use COVID19 dataset we have consisting of the data related cumulative number of confirmed, recovered, and deaths cases. we are going to prepare this dataset to answer these questions: How does the Global Spread of the virus look like?, How intensive the spread of the virus has been in the countries? Does covid19 national lockdowns and self-isolations in different countries have actually impact on COVID19 transmission? we are going to use Plotly module, which is a great visualization tool in python, in order to plot some insightful and intuitive graphs to answer the questions....

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1 - 23 of 23 Reviews for COVID19 Data Visualization Using Python

By Bhavesh S

Sep 14, 2020

Valuable Experience

By Charilaos A S

Aug 3, 2023

Outdated. Needs to be updated , a lot of functions have changed how they work in python. I do not suggest you start this course if you have no idea about python. Also the dataset that is being used has changed, so you can't compare.

By Corey H

Feb 24, 2023

This project does not work. The website does not translate to the video, and i was unable to finish without a refund. DO NOT USE ( HIGHLY UNRECOMMENDED). I REPORTED THE ISSUSE BUT WAS NEVER GIVEN AN ANSWER.

By Jhalak T

Sep 24, 2023

The learning material on the guided project (lab) is outdated - the resourses are not available. It should either be removed or updated.

By Kiran B

Jun 2, 2024

Dear Coursera Project Network, I wanted to share my positive experience with the "COVID19 Data Visualization Using Python" course. Completing this project has been invaluable, and I appreciate the opportunity to provide feedback: Positive Feedback: Comprehensive Content: The course content was thorough and covered essential topics like data manipulation with Pandas and visualization with Matplotlib and Plotly etc. Engaging Project-Based Approach: Working on a real-world project analyzing COVID-19 data was both engaging and relevant, enhancing my understanding of data visualization in Python. Interactive Learning Experience: The interactive exercises and project walkthroughs were helpful in reinforcing concepts and improving my skills. Thank you for providing such a rewarding learning experience. I look forward to applying the skills I've gained. Best regards, Kiran

By Samsonova A

Apr 15, 2021

The topic is really relevant and up-to-date. I don't have impressive skills in Python so far, but the project is explained so good that i didn't have any questions. I definetely feel more confident in visualizations now :)

By Heinz D

Nov 2, 2020

Interesting course covering data visualisation for a very current topic. Thank you to the instructor!

By Prince S

Jul 11, 2021

Real good and simple !! good if you are new to this stuff.

By Jovanni J

Oct 15, 2020

great sample for visualizaing data on the map

By Kirt P S

Oct 5, 2020

Very good project from a very good instructor

By Mustak A

Apr 11, 2021

Great course.And the instructor was too good

By 19BST035-HARI K R B B C

Sep 25, 2020

This course is awesome to learn

By Narmadha B H

Sep 13, 2020

I'm hv Learnt abt covid19

By Oseni Q

Sep 16, 2020

Educational and Helping

By Komal R

Sep 26, 2020

Great Course!

By Alisson F B d O

Mar 12, 2022

Nice course


Sep 29, 2020


By Mohammad H

Nov 21, 2020

Very Poor,, most functions didn't work, the map didn't load, no support. Bad in general. Better to watch a YouTube tutorial

By Deleted A

Jun 12, 2021

I got enrolled in this course freely. After enrolling they are asking to pay money to submit the project. This is not fair.

By Sifatullah j

Sep 12, 2020

Can't open the practice lab. It says you have almost earned a certificate.

By Задойный А

May 14, 2022

Очень слабо. Всего 2 графика с помощью Plotly Express.

By Ryan M

Mar 31, 2023

Can't get the Jupyter notebook to open.

By Arnab C

Sep 17, 2020

Slow down and explain everything please